Evidence map›Paper›PMID 31749963›Full record

ArticleAntimicrobial resistance and infection control2019

Risk prediction for 30-day mortality among patients with

Hsiu-Yin Chiang, Han-Chun Huang, Chih-Wei Chung, Yi-Chun Yeh, Yi-Chin Chen, Ni Tien, Hsiu-Shan Lin, Mao-Wang Ho, Chin-Chi Kuo

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Open forum infectious diseases · 2023
    Article
  5. Article
  6. Performance of Clostridioides difficile infection severity scores and risk factors related to 30-day all-cause mortality in patients with cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Observational
  7. A Predictive Model to Identify ComplicatedOpen forum infectious diseases · 2023
    Article
  8. Early Prognostic Stratification ofJournal of personalized medicine · 2022
    Article
  9. Capturing the environment of the Clostridioides difficile infection cycle.Nature reviews. Gastroenterology & hepatology · 2022
    Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Hsiu-Yin Chiang1Big Data Center, China Medical University Hospital, Taichung, 404 Taiwan.ORCID 0000-0002-4205-2787
Han-Chun Huang1Big Data Center, China Medical University Hospital, Taichung, 404 Taiwan.
Chih-Wei Chung1Big Data Center, China Medical University Hospital, Taichung, 404 Taiwan.
Yi-Chun Yeh1Big Data Center, China Medical University Hospital, Taichung, 404 Taiwan.
Yi-Chin Chen2Department of Medical Research, Department of Internal Medicine, China Medical University Hospital, Taichung, 404 Taiwan.
Ni Tien3Department of Laboratory Medicine, China Medical University Hospital, Taichung, 404 Taiwan.
Hsiu-Shan Lin3Department of Laboratory Medicine, China Medical University Hospital, Taichung, 404 Taiwan.
Mao-Wang Ho4Division of Infectious Diseases, Department of Internal Medicine, China Medical University Hospital, Taichung, 404 Taiwan.
Chin-Chi Kuo1Big Data Center, China Medical University Hospital, Taichung, 404 Taiwan.
China Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Current guidelines have unsatisfied performance in predicting severe outcomes after Methods: This retrospective cohort study was conducted at China Medical University Hospital, a 2111-bed tertiary medical center in central Taiwan. We included adult inpatients who had a first positive Results: Of 401 patients, 23.4% died within 30 days. In the multivariable model, malignancy (hazard ratio [HR] = 1.95), ≥ 1.5-fold rise in SCr (HR = 2.27), BUN-to-SCr ratio > 20 (HR = 2.04), and increased glucose (≥ 193 vs < 142 mg/dL, HR = 2.18) were significant predictors of 30-day mortality. For patients who survived the first 30 days of CDI, BUN-to-SCr ratio > 20 (Odds ratio [OR] = 4.01) was the only significant predictor for prolonged (> 9 days) length of ICU stay following CDI. The Harrell's Conclusions: Our model that included novel biomarkers of BUN-to-SCr ratio and glucose have a higher predictive performance of 30-day mortality and prolonged ICU stay following CDI than do the guidelines.

Indexed as

Clostridioides difficileAgedAged, 80 and overClostridium InfectionsFemaleHumansIntensive Care UnitsLength of StayMaleMiddle AgedMortalityOdds RatioPractice Guidelines as TopicPrognosisProportional Hazards ModelsRetrospective StudiesBUN-to-SCr ratioClostridium difficile infectionGlucoseICU stayMortality

Identifiers

PMID31749963
PMCPMC6852910
OpenAlexW2986606263

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.